一种用于电流互感器铁心J-A磁滞参数识别的改进方法

周仕豪; 潘本仁; 万勇; 王冠南; 张妍; 桂小智

doi:10.11930/j.issn.1004-9649.201908012

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一种用于电流互感器铁心J-A磁滞参数识别的改进方法

电网 | 更新时间：2025-06-18

- 一种用于电流互感器铁心J-A磁滞参数识别的改进方法
- An Improved Method for J-A Hysteresis Parameter Identification of Current Transformer Core
- 中国电力 2021年54卷第7期页码：109-116
- 作者机构：
  
  国网江西省电力有限公司电力科学研究院，江西南昌　330096
- 作者简介：
  
  [ "周仕豪(1993—)，男，硕士，工程师，从事继电保护技术研究，E-mail：shihaozhou@vip.qq.com" ]
  [ "潘本仁(1983—)，男，硕士，高级工程师(教授级)，从事继电保护方面的研究。E-mail: 13677913958@163.com" ]
- 基金信息：
  
  国家电网公司科技项目(521820180017)
- DOI：10.11930/j.issn.1004-9649.201908012
  中图分类号：
- 收稿：2019-08-01，
  
  修回：2020-01-04，
  
  纸质出版：2021-07-05
- 稿件说明：
移动端阅览
周仕豪, 潘本仁, 万勇, 等. 一种用于电流互感器铁心J-A磁滞参数识别的改进方法[J]. 中国电力, 2021,54(7):109-116.

Shihao ZHOU, Benren PAN, Yong WAN, et al. An Improved Method for J-A Hysteresis Parameter Identification of Current Transformer Core[J]. Electric power, 2021, 54(7): 109-116.
周仕豪, 潘本仁, 万勇, 等. 一种用于电流互感器铁心J-A磁滞参数识别的改进方法[J]. 中国电力, 2021,54(7):109-116. DOI： 10.11930/j.issn.1004-9649.201908012.

Shihao ZHOU, Benren PAN, Yong WAN, et al. An Improved Method for J-A Hysteresis Parameter Identification of Current Transformer Core[J]. Electric power, 2021, 54(7): 109-116. DOI： 10.11930/j.issn.1004-9649.201908012.

摘要

模拟电流互感器铁心的动态磁化过程，需要建立准确的磁滞模型。改进J-A磁滞模型能够更准确地模拟铁心的磁滞特性。针对改进J-A磁滞模型关键参数难以确定的问题，提出了一种基于烟花算法的电流互感器改进J-A磁滞模型参数识别方法。该方法首先建立改进J-A模型，然后建立参数识别模型，以求出的磁感应强度与已知的磁感应强度之间的绝对误差之和最小为目标函数，将模型参数作为变量引入烟花优化算法中求解。在产生新火花的时候，增加了对火花是否满足约束条件的校验。用所提方法分别识别P型和PR型电流互感器磁滞曲线，结果表明求得的磁滞曲线与实际曲线偏差小，增加的火花校验环节能够明显减少算法收敛所需要的迭代次数，证明了所提方法的有效性和自适应性。

Abstract

To simulate the dynamic magnetization process of the current transformer core

an accurate hysteresis model needs to be established. The improved J-A hysteresis model can simulate the hysteresis characteristics of core more accurately. In this paper

an improved J-A hysteresis model parameter identification method for current transformer based on fireworks algorithm is proposed to determine the key parameter of the improved J-A hysteresis model. Firstly

the modified J-A model is established

and then the parameter identification model is constructed. The sum of the absolute error between the obtained magnetic induction and the known magnetic induction are taken as the objective function

and the model parameters are introduced into the fireworks algorithm as variables. When a new spark is generated

the check of whether the spark meets the constraints is added. Finally

the hysteresis curves of P-type and PR-type current transformers are identified by the proposed method. The results show that the obtained hysteresis curve has a small deviation from the actual curve. The added spark check link can reduce the number of iterations required for algorithm convergence. The effectiveness and adaptability of the proposed method has been verified by simulation results.

关键词

Keywords

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